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The R2TP complex is a specialized HSP90 cochaperone essential for the maturation of macromolecular complexes such as RNAPII and TORC1. R2TP is formed by a hetero-hexameric ring of AAA-ATPases RuvBL1 and RuvBL2, which interact with RPAP3 and PIH1D1. Several R2TP-like complexes have been described, but these are less well characterized. Here, we identified, characterized and determined the cryo-electron microscopy (cryo-EM) structure of R2T from Arabidopsis thaliana, which lacks PIH1D1 and is probably the only form of the complex in seed plants. In contrast to R2TP, R2T is organized as two rings of AtRuvBL1-AtRuvBL2a interacting back-to-back, with one AtRPAP3 anchored per ring. AtRPAP3 has no effect on the ATPase activity of AtRuvBL1-AtRuvBL2a and binds with a different stoichiometry than in human R2TP. We show that the interaction of AtRPAP3 with AtRuvBL2a and AtHSP90 occurs via a conserved mechanism. However, the distinct architectures of R2T and R2TP suggest differences in their functions and mechanisms.
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http://dx.doi.org/10.1016/j.str.2025.01.023 | DOI Listing |
Structure
April 2025
Instituto de Biología Molecular y Celular de Plantas (CSIC-UPV), Ingeniero Fausto Elio s/n, 46022 Valencia, Spain. Electronic address:
The R2TP complex is a specialized HSP90 cochaperone essential for the maturation of macromolecular complexes such as RNAPII and TORC1. R2TP is formed by a hetero-hexameric ring of AAA-ATPases RuvBL1 and RuvBL2, which interact with RPAP3 and PIH1D1. Several R2TP-like complexes have been described, but these are less well characterized.
View Article and Find Full Text PDFMult Scler Relat Disord
October 2024
Department of Neurology, Washington University School of Medicine, St. Louis, St. Louis, MO 63110, USA; Department of Radiology, Washington University School of Medicine, St. Louis, St. Louis, MO 63110, USA. Electronic address:
NMR Biomed
May 2023
Department of Radiology, Washington University in Saint Louis, St. Louis, Missouri, USA.
The purpose of the current study was to introduce a Deep learning-based Accelerated and Noise-Suppressed Estimation (DANSE) method for reconstructing quantitative maps of biological tissue cellular-specific, R2t*, and hemodynamic-specific, R2', metrics of quantitative gradient-recalled echo (qGRE) MRI. The DANSE method adapts a supervised learning paradigm to train a convolutional neural network for robust estimation of R2t* and R2' maps with significantly reduced sensitivity to noise and the adverse effects of macroscopic (B ) magnetic field inhomogeneities directly from the gradient-recalled echo (GRE) magnitude images. The R2t* and R2' maps for training were generated by means of a voxel-by-voxel fitting of a previously developed biophysical quantitative qGRE model accounting for tissue, hemodynamic, and B -inhomogeneities contributions to multigradient-echo GRE signal using a nonlinear least squares (NLLS) algorithm.
View Article and Find Full Text PDFEur J Radiol
October 2022
Department of Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China. Electronic address:
Objective: To investigate the characteristics of oxygen metabolism and the cellular structure of glioma using quantitative MRI to predict the isocitrate dehydrogenase 1 (IDH1) status and to further understand the biological characteristics of gliomas.
Methods: In this retrospective study, 94 patients with gliomas eventually received quantitative MRI measures to study oxygen metabolism. The oxygen metabolism biomarker maps (oxygen extraction fraction [OEF] and cerebral metabolic rate of oxygen [CMRO]) and the tissue-cellular-specific (Rt*) MRI relaxation parameter were evaluated in different regions of glioma.